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To evaluate a 3-D Chebyshev series on the Cartesian product of x, y, z, use the polynomial.chebgrid3d(x, y, z) method in Python. If c has fewer than three dimensions, ones are implicitly appended to its shape to make it 3-D. The shape of the result will be c.shape[3:] + x.shape + y.shape + z.shape.The parameter, x, y and z are the three dimensional series is evaluated at the points in the Cartesian product of x, y, and z. If x, `y`, or z is a list or tuple, it is first converted to an ndarray, otherwise it is left unchanged ... Read More
Security metrics are used to assess the security level of a system and to implement security objective. There are multiple security metrics for security analysis, but there is no systematic description of security metrics that is based on network reachability information. To address this, it propose a systematic description of existing security metrics based on network reachability information. Mainly, it can classify the security metrics into host-based and network-based metrics.The host-based metrics are defined into metrics without probability and with probability, while the network based metrics are defined into pathbased and nonpath based.The classification of security metrics is as follows ... Read More
There are some basics of security metrics which are as follows −Background − Metrics are tools designed to support decision making and recover performance and accountability during set, analysis, and documenting of pertinent performance-associated data.The point of measuring performance is to consider the condition of considered activities and facilitate improvement in those activities by using counteractive actions, based on observed dimensions. While a case can be made for using multiple terms for more comprehensive and aggregated items, such as metrics and measures, this document creates these terms interchangeably.Metric Lifecycle − The business logic connected with a metric follows a simple ... Read More
To evaluate a 2-D Chebyshev series on the Cartesian product of x and y, use the polynomial.chebgrid2d(x, y, c) method in Python. The method returns the values of the two dimensional Chebyshev series at points in the Cartesian product of x and y. If c has fewer than two dimensions, ones are implicitly appended to its shape to make it 2-D. The shape of the result will be c.shape[2:] + x.shape + y.shape.The parameter, x and y are the two dimensional series is evaluated at the points in the Cartesian product of x and y. If x or y is ... Read More
A metric define a system of dimension that based on quantifiable procedures. Useful metrics point to the degree to which protection objective, like data confidentiality, are being met, and they drive measures taken to find an organization’s complete security program. Privacy can be explained as exercising control over what access others have to private magnitude of us, such as information privacy.Metrics can be an effectual device for security executives to discern the effectiveness of several components of their protection programs, the security of a specific system, product or process, and the aptitude of staff or departments within an organization to ... Read More
To compute the roots of a polynomials, use the polynomial.polyroots() method in Python Numpy. The method returns an array of the roots of the polynomial. If all the roots are real, then out is also real, otherwise it is complex. The parameter, c is a 1-D array of polynomial coefficients.The root estimates are obtained as the eigenvalues of the companion matrix, Roots far from the origin of the complex plane may have large errors due to the numerical instability of the power series for such values. Roots with multiplicity greater than 1 will also show larger errors as the value ... Read More
An information security metrics is a measure that can track and assess the condition of a definite information security process. A metric define a system of dimension that based on quantifiable procedures.Good metrics are those that are elegant, i.e. specific, quantifiable, attainable, repeatable, and time dependent. Dimensions provide individual-point-in-time vision of definite, discrete element, while metrics are resultant by analysing to a prearranged baseline multiple dimensions taken over time. Dimensions are created by counting and metrics are created from analysis.Alternatively, dimensions are objective raw information and metrics are objective or subjective human description of those data. The method of dimension ... Read More
To compute the roots of a polynomials, use the polynomial.polyroots() method in Python Numpy. The method returns an array of the roots of the polynomial. If all the roots are real, then out is also real, otherwise it is complex. The parameter, c is a 1-D array of polynomial coefficients.The root estimates are obtained as the eigenvalues of the companion matrix, Roots far from the origin of the complex plane may have large errors due to the numerical instability of the power series for such values. Roots with multiplicity greater than 1 will also show larger errors as the value ... Read More
Metrics are tools designed to support decision making and recover performance and accountability during collection, analysis, and documenting of pertinent performance-related data. The point of computing performance is to observe the condition of considered activities and facilitate improvement in those activities by using counteractive actions, based on observed dimensions.While a case can be made for using multiple terms for more comprehensive and aggregated items, such as metrics and measures, this document creates these terms correspondently.Some other IT process, security can follow a lifecycle model. The model presented follows the fundamental steps of IDENTIFY-ASSESS-PROTECT-MONITOR. This lifecycle provides a best foundation for ... Read More
An information security metrics is a measure that can track and check the condition of a definite information security process. A metric define a system of dimension that based on quantifiable procedures.Good metrics are those that are elegant, such as specific, quantifiable, attainable, repeatable, and time reliant. Dimensions provide single-point-in-time views of definite, distinct elements, while metrics are effect by comparing to a prearranged control several dimensions taken over time.Dimensions are developed by counting; metrics are developed from analysis. Alternatively, dimensions are objective raw information and metrics are either objective or subjective human description of those data. The method of ... Read More